A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation

DOI10.1007/S00422-009-0291-ZzbMath1342.92042OpenAlexW2062242689WikidataQ46138247 ScholiaQ46138247MaRDI QIDQ732692

D. Kharzeev

Publication date: 12 October 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-009-0291-z

zbMATH Keywords

Bayesian estimationvisual perceptionmotion integrationsmooth eye pursuit

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural biology (92C20)

Cites Work

• A model of smooth pursuit in primates based on learning the target dynamics
• Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT
• Disambiguating Visual Motion Through Contextual Feedback Modulation
• Bayesian Computation in Recurrent Neural Circuits

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